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Retrieval-augmented Generation

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Showing 551–575 of 2196 papers

TitleStatusHype
Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation—0
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsCode0
When Pigs Get Sick: Multi-Agent AI for Swine Disease Detection—0
Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine—0
MDocAgent: A Multi-Modal Multi-Agent Framework for Document UnderstandingCode3
Empowering GraphRAG with Knowledge Filtering and Integration—0
RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation ServingCode1
JuDGE: Benchmarking Judgment Document Generation for Chinese Legal SystemCode1
Good/Evil Reputation Judgment of Celebrities by LLMs via Retrieval Augmented Generation—0
MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments—0
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving—0
Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval—0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
OSCAR: Online Soft Compression And Reranking—0
Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval—0
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAGCode0
LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation—0
Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene UnderstandingCode1
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
Applications of Large Language Model Reasoning in Feature Generation—0
Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes—0
Agentic Search Engine for Real-Time IoT DataCode0
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation—0
Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria RerankingCode14
RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration—0
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